bioRxivBioinformaticsPreprint
Re-analysis of Transcriptomic and Proteomic Data Using Multi-Omics Approaches Identifies Biomarkers of Diabetes-Associated Complications in an INS Mutant Pig Model
Kota Krishna PriyaiD, Bilal Ahmed AbbasiiD, Priya KajlaiD, Sadhana TripathiiD, Aubrey BaileyiD, Binuja VarmaiD
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Abstract
Mutant Insulin Induced Diabetes of Youth (MIDY) is an established porcine model caused by the INSC94Y mutation, which results in misfolded insulin, leading to severe {beta}-cell loss and hyperglycemia. Understanding disease pathophysiology is critical for identifying biomarkers and therapeutic targets, and animal models play a key role in this process. In this study, we re-analyzed published transcriptomic and proteomic data from the MIDY model using advanced multi-omics approaches and our in-house SurfacOmics tool. This integrative analysis identified ADAMTS17 as a novel biomarker, suggesting a potential association in diabetes-associated immune dysfunction and delayed wound healing through ECM-immune interplay.
- assay: bulk RNA-seq
- assay: proteomics
- research focus: differential expression
- approach: statistical model
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